Title :
Context sensitive dictionary and a model of image data compression
Author_Institution :
Dept. of Comput. Sci., Zhongshan Univ., Guangzhou, China
Abstract :
A new method for data compression is presented. The method is based on the use of a dictionary that is called a context sensitive dictionary. We discuss a data compression model that uses the context sensitive dictionary. The experimental results of the compression model show that the method can reduce several kinds of redundancy in data files and approach a higher compression ratio
Keywords :
data compression; image coding; redundancy; tree data structures; context sensitive dictionary; data compression model; higher compression ratio; image data compression; redundancy; Arithmetic; Computer science; Context modeling; Data compression; Data structures; Dictionaries; Frequency; Probability; Statistical analysis; Statistical distributions;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.566274
